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chore(model-gallery): ⬆️ update checksum (#10495)
⬆️ Checksum updates in gallery/index.yaml Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
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@@ -3,24 +3,7 @@
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url: "github:mudler/LocalAI/gallery/virtual.yaml@master"
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urls:
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- https://huggingface.co/LiquidAI/LFM2.5-1.2B-Instruct-GGUF
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description: |
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Try LFM • Docs • LEAP • Discord
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# LFM2.5-1.2B-Instruct
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LFM2.5 is a new family of hybrid models designed for **on-device deployment**. It builds on the LFM2 architecture with extended pre-training and reinforcement learning.
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- **Best-in-class performance**: A 1.2B model rivaling much larger models, bringing high-quality AI to your pocket.
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- **Fast edge inference**: 239 tok/s decode on AMD CPU, 82 tok/s on mobile NPU. Runs under 1GB of memory with day-one support for llama.cpp, MLX, and vLLM.
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- **Scaled training**: Extended pre-training from 10T to 28T tokens and large-scale multi-stage reinforcement learning.
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Find more information about LFM2.5 in our blog post.
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## 🗒️ Model Details
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LFM2.5-1.2B-Instruct is a general-purpose text-only model with the following features:
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...
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description: "Try LFM • Docs • LEAP • Discord\n\n# LFM2.5-1.2B-Instruct\n\nLFM2.5 is a new family of hybrid models designed for **on-device deployment**. It builds on the LFM2 architecture with extended pre-training and reinforcement learning.\n\n - **Best-in-class performance**: A 1.2B model rivaling much larger models, bringing high-quality AI to your pocket.\n - **Fast edge inference**: 239 tok/s decode on AMD CPU, 82 tok/s on mobile NPU. Runs under 1GB of memory with day-one support for llama.cpp, MLX, and vLLM.\n - **Scaled training**: Extended pre-training from 10T to 28T tokens and large-scale multi-stage reinforcement learning.\n\nFind more information about LFM2.5 in our blog post.\n\n## \U0001F5D2️ Model Details\n\nLFM2.5-1.2B-Instruct is a general-purpose text-only model with the following features:\n\n...\n"
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license: "other"
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tags:
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- llm
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@@ -842,8 +825,8 @@
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use_tokenizer_template: true
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files:
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- filename: llama-cpp/models/Qwopus3.6-27B-Coder-MTP-GGUF/Qwopus3.6-27B-Coder-MTP-Q4_K_M.gguf
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sha256: b2898667ed7b2388f0ab7691393833ae777f247492bbe62fdb4b2bd3e3cf3f79
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uri: https://huggingface.co/Jackrong/Qwopus3.6-27B-Coder-MTP-GGUF/resolve/main/Qwopus3.6-27B-Coder-MTP-Q4_K_M.gguf
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sha256: b2b9180093496da2e00439e3fa23227c591355901bfa579bc6897bbc01b755ef
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- filename: llama-cpp/mmproj/Qwopus3.6-27B-Coder-MTP-GGUF/mmproj-F32.gguf
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sha256: 32f7ea0600c07272547da401d460f8abbd980f3a57b69d6df87be0e2505e0b9c
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uri: https://huggingface.co/Jackrong/Qwopus3.6-27B-Coder-MTP-GGUF/resolve/main/mmproj-F32.gguf
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